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Our ability to generate information now far exceeds our capacity to understand it. Finding patterns and making meaningful connections inside complex data networks has emerged as one of the biggest challenges of the twenty-first century. In recent years, designers, researchers, and scientists have begun employing an innovative mix of colors, symbols, graphics, algorithms, and interactivity to clarify, and often beautify, the clutter. From representing networks of friends on Facebook to depicting interactions among proteins in a human cell, Visual Complexity presents one hundred of the most interesting examples of information-visualization by the field's leading practitioners.

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Editorial Reviews

Review

"A rigorously researched, beautifully designed, thoughtfully curated anthology of the world's most compelling work at the intersection of two relatively nascent yet increasingly powerful techno-cultural phenomena, network science and information visualization.... A powerful tool in your visual literacy arsenal for navigating the Information Age. From the Bible to Wikipedia edits to the human genome, the gorgeous and thought-provoking visualizations in the book will make you look at the world in a whole new way, and the insightful essays accompanying them will vastly expand your understanding of the trends and technologies shaping our ever-evolving relationship with information." -- Brain Pickings

"Visual Complexity is a showcase for the intersection of art, design and science... Some of the examples are indeed silly. Some are profound. Many are decidedly beautiful. And all are fascinating, given the infinite kinds of data that can be visualized." --New York Times Book Review

"Manuel Lima, the New York-based founder of visualcomplexity.com, works at the forefront of network science and information visualization. Appropriately, his book Visual Complexity cuts through digital clutter, using colorful examples to illustrate these fields." --Surface magazine

"Intellectually ambitious... the author engages this heady material with a surprisingly sharp and lucid eye." --Metropolis

"Artistic analysis... tremendous potential for shaping how we understand our world... if you are the type who obsesses on Google Analytics or just feel the need to nerd out for a bit, pick up a copy." --Cool Hunting

About the Author

Manuel Lima is the founder of VisualComplexity.com and a Senior UX Design Lead at Microsoft. He is a Fellow of the Royal Society of Arts and was nominated by Creativity magazine as "one of the 50 most creative and influential minds of 2009".

Manuel Lima is a leading voice on information visualization and a frequent speaker in conferences and schools around the world, including TED, Lift, OFFF, Reboot, VizThink, IxDA Interaction, Royal College of Art, NYU Tisch School of the Arts, ENSAD Paris, University of Amsterdam, MediaLab Prado Madrid.

Most Helpful Customer Reviews

As the world becomes more connected, whether through email, social web sites, chat, or instant messaging, there is now a need to understand this interconnectivity. These networks could be computer networks, the connectedness of genes and chromosomes, proteins, or even citations of papers. The need is not new because networks are not new. There have been networks connecting people through phone calls and postal letters, for example. What is new is the many different methods of connection and the size of networks. Given these large networks, how might you go about understanding their properties? Further, how might you go about gaining insight into the types of connections, the strong versus weak connections, the permutations of connections and other such features of networks?

If you were to try to simply list the connections, say in a table that showed a person and who he sent email to, that table would quickly grow. You would have gained little insight to the network except maybe to see just how vast it is. The natural method, then, is to find a graph, a picture, of the network. In Visual Complexity, Manuel Lima starts to show us different pictures we can use to see networks.

He begins with a short history of networks and graphs some dating back centuries. If you gain nothing else from that you will at least see that the need for insight is quite old. Lima does a satisfactory job of describing this history and his illustrations are excellent supports for the text. He then goes on to show more examples and as he does so, the textual explanations slowly fall away. In fact, by page 97 (out of a total of 272 pages) there is very little text but lots of pictures.Read more ›

As a practitioner and educator in information design I am writing to recommend strongly Visual Complexity by Manuel Lima. The field had been lacking analytical resources until this book beautifully filled the gap. It is well researched and well written with copious well chosen examples. It provides an in-depth and broad view of the history, theories and methods of visualizing data, mostly focusing on network visualizations. Furthermore, it proposes a methodology for visualizing data which can be very helpful especially for beginners.

I have been following Lima's visualcomplexity.com site for several years and have been suggesting it to my students as a resource. My excitement upon learning about the book immediately led me to reserve a copy of it. The book amazed me with its rigor and the quality of its research. I have to say that I learned a good amount from it which, of course, made me very happy!

I would like to end by recommending that Visual Complexity be an essential reference to all of us who work in visualizing data, from all fields of knowledge, not only designers. Above all, it is a must-have for communication design college students (and instructors). It will be a required book in all of my information design courses. I am certain Visual Complexity will impart both inspiration and information to all who read it.

People interested in and fascinated by gorgeous data and network visualization will love this book.

Lima has done a masterful job of researching and showcasing some of the most beautiful visualizations in the world. However he has actually gone much, much further.

The book contains deep original research on the origins of visual representation, the emergence of networks and network thinking, as well as exploring a new syntax for mapping complex systems. All of this makes for something far more sophisticated than a compendium of pretty infographics -- even though aesthetes will be very much satisfied! -- instead it is an ambitious and intellectually significant dive into the very heart of networks, the desire to understand data, and the practice of discerning insights from their visualization.

A particular highlight are the jaw-dropping comparisons between Jackson Pollock's art and network visualizations in the chapter on 'Complex Beauty'. Lima compares one Jackson Pollock painting with a computer-generated model produced by an IBM supercomputer mapping millions of neuron connections in the brain. The two images, side-by-side, are eerily similar. It gives you the tingling sensation that Pollock's work was less raw artistic explosions and more a representation of what he was 'seeing' deep inside into his brain.

All up, an immensely valuable contribution to an exciting and emerging phenomenon. Brilliant for people interested in beautiful visualizations and perfect for those wanting to delve a little deeper into what's really going on.

'Visual Complexity' is taking pride of place on top of my coffee table.

As an infographics designer and data visualization artists for nearly 20 years, I've been a big fan of Manuel Lima's webiste visualcomplexity.com. I was excited to find his new book here on Amazon and it's been a pleasure to absorb. Not only do I find it to be a great resource, I find it to be full of inspiration and have added it to our company library at infographics.com. My employees are often fighting over access to the book. I highly recommend it!

More About the Author

A Fellow of the Royal Society of Arts, nominated by Creativity magazine as "one of the 50 most creative and influential minds of 2009", Manuel Lima is the founder of VisualComplexity.com and a regular teacher of data visualization at Parsons School of Design.

Manuel is a leading voice on information visualization and has spoken in numerous conferences, schools and festivals around the world, including TED, Lift, OFFF, Eyeo, Ars Electronica, IxDA Interaction, Harvard, MIT, Royal College of Art, NYU Tisch School of the Arts, ENSAD Paris, University of Amsterdam, MediaLab Prado Madrid. He has also been featured in various magazines and newspapers, such as Wired, New York Times, Science, BusinessWeek, Creative Review, Fast Company, Forbes, Eye, Grafik, SEED, Étapes, and El País. His latest book Visual Complexity: Mapping patterns of information has been translated into French, Chinese, and Japanese.